Results 31 to 40 of about 1,076,995 (259)
Learning to Copy for Automatic Post-Editing [PDF]
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), 2019 EMNLP ...
Xuancheng Huang +4 more
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Медіафорум: аналітика, прогнози, інформаційний менеджмент, 2023 Now, with the appearance of the latest wave of a sophisticated generative artificial intelligence (AI), humanity is about to embark on an entirely new functioning order.
Valentyna Bohatyrets
doaj +1 more source
Post-editing of machine translation [PDF]
, 2019 This chapter analyses the evolutionary process that human post-editing of Machine Translation (MT) output has undergone in previous years. It is well known that post-editing can improve translating productivity as well as target-text quality relative to translation carried out ‘from scratch’, but post-editing has many facets.
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An annotated dataset of stack overflow post edits [PDF]
Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, 2020 To improve software engineering, software repositories have been mined for code snippets and bug fixes. Typically, this mining takes place at the level of files or commits. To be able to dig deeper and to extract insights at a higher resolution, we hereby present an annotated dataset that contains over 7 million edits of code and text on Stack Overflow.
Sebastian Baltes, Markus Wagner 0007
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JoSTrans: The Journal of Specialised Translation, 2017 This article reports on a key-logging study carried out to test the benefits of post-editing Machine Translation (MT) for the professional translator within a hypothetico-deductive framework, contrasting the outcomes of a number of variables which are ...
Ben Screen
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An Empirical Study of Automatic Post-Editing
CoRR, 2022 14 pages, 4 ...
Xu Zhang 0077, Xiaojun Wan 0001
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Post-edits Are Preferences Too
Proceedings of the Ninth Conference on Machine TranslationPreference Optimization (PO) techniques are currently one of the state of the art techniques for fine-tuning large language models (LLMs) on pairwise preference feedback from human annotators. However, in machine translation, this sort of feedback can be difficult to solicit. Additionally, Kreutzer et al. (2018) have shown that, for machine translation,
Nathaniel Berger +3 more
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A Comparative Study of Post-editing Guidelines
, 2016 With the popular use of machine translation technology in the translation industry, postediting has been widely adopted with the aim of improving target text quality. Every post-editing project needs to have specific guidelines for translators to comply with, since the guidelines may help clients and LSPs to set clear expectations, and save time and ...
Hu, Ke, Cadwell, Patrick
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction Pre‐dilution online hemodiafiltration (Pre‐HDF) is predominantly used in Japan, whereas post‐dilution online HDF (Post‐HDF) is more common in Europe. An asymmetric cellulose triacetate (ATA) membrane may improve biocompatibility.
Kenji Sakurai +4 more
wiley +1 more source
Informatics, 2019 The recent arrival on the market of high-performing neural MT engines will likely lead to a profound transformation of the translation profession. The purpose of this study is to explore how this paradigm change impacts the post-editing process, with a ...
Hanna Martikainen
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